• Clemens Scott Kruse, Rishi Goswamy, Yesha Raval, and Sarah Marawi.
• School of Health Administration, Texas State University, San Marcos, TX, United States.
• JMIR Med Inform. 2016 Nov 21; 4 (4): e38.

BackgroundBig data analytics offers promise in many business sectors, and health care is looking at big data to provide answers to many age-related issues, particularly dementia and chronic disease management.ObjectiveThe purpose of this review was to summarize the challenges faced by big data analytics and the opportunities that big data opens in health care.MethodsA total of 3 searches were performed for publications between January 1, 2010 and January 1, 2016 (PubMed/MEDLINE, CINAHL, and Google Scholar), and an assessment was made on content germane to big data in health care. From the results of the searches in research databases and Google Scholar (N=28), the authors summarized content and identified 9 and 14 themes under the categories Challenges and Opportunities, respectively. We rank-ordered and analyzed the themes based on the frequency of occurrence.ResultsThe top challenges were issues of data structure, security, data standardization, storage and transfers, and managerial skills such as data governance. The top opportunities revealed were quality improvement, population management and health, early detection of disease, data quality, structure, and accessibility, improved decision making, and cost reduction.ConclusionsBig data analytics has the potential for positive impact and global implications; however, it must overcome some legitimate obstacles.©Clemens Scott Kruse, Rishi Goswamy, Yesha Raval, Sarah Marawi. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 21.11.2016.

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